Publications associées à Cartographie statistique paramétrique

Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping

Dimitri Nestor Alice Van De Ville, Hamid Behjat, Nora Leonardi

A graph based framework for fMRI brain activation mapping is presented. The approach exploits the spectral graphwavelet transform (SGWT) for the purpose of defining an advanced multi-resolutional spatial transformation for fMRI data. The framework extends ...

Elsevier2015

Human finger somatotopy in areas 3b, 1, and 2: A 7T fMRI study using a natural stimulus

Rolf Gruetter, Olaf Blanke, Wietske Van der Zwaag, Roberto Martuzzi, Juliane Farthouat

To study the properties of human primary somatosensory (S1) cortex as well as its role in cognitive and social processes, it is necessary to noninvasively localize the cortical representations of the body. Being arguably the most relevant body parts for ta ...

Wiley-Blackwell2014

Volume-based vs. voxel-based brain morphometry in Alzheimer's disease prediction

Meritxell Bach Cuadra, Bénédicte Marie Maréchal, Delphine Ribes Lemay, Reto Meuli, Alessandro Daducci, Cristina Granziera, Daniel Andreas Schmitter, Gunnar Krüger, Alexis Roche, Ahmed Abdulkadir

Voxel-based morphometry from conventional T1-weighted images has proved effective to quantify Alzheimer's disease (AD) related brain atrophy and to enable accurate automated classification of AD patients, mild cognitive impaired (MCI) patients and elderly ...

Proceedings of 23rd International Society for Magnetic Resonance in Medicine (ISMRM) Conference2014

Connectivity Searchlight: A Novel Approach For Mri Information Mapping Using Multivariate Connectivity

Dimitri Nestor Alice Van De Ville, Jonas Richiardi, Soheil Faridi

Brain mapping using magnetic resonance imaging (MRI) is traditionally performed using voxel-wise statistical hypothesis testing. Such mass-univariate approach ignores subtle spatial interactions. The searchlight method, in contrast, uses a multivariate pre ...

Ieee2013

Brain decoding: Opportunities and challenges for pattern recognition

Dimitri Nestor Alice Van De Ville

The neuroimaging community heavily relies on statistical inference to explain measured brain activity given the experimental paradigm. Undeniably, this method has led to many results, but it is limited by the richness of the generative models that are depl ...

Elsevier2012

Spatiotemporal Brain Signatures of Risk and Reward

Anjali Devi Vanapilli Nursimulu

Rational economics and finance surmise that choices decree from a conscious arbitration between alternatives based on decision-theoretically computed values. Implicit in the computation of these option values are the perception and integration of different ...

Ecole Polytechnique Fédérale de Lausanne2012

The neural correlates of the shine-through effect

Michael Herzog, Gijs Plomp, Yvonne Evelina Thunell

Shine-through occurs when a briefly presented vernier stimulus is followed by a grating consisting of 25 lines: the vernier appears brighter, longer, wider, and superimposed on the grating. However, vernier offset discrimination is strongly impeded if two ...

2011

Methods for Determining Frequency- and Region-Dependent Relationships Between Estimated LFPs and BOLD Responses in Humans

Jean-Philippe Thiran, Roberto Martuzzi

The relationship between electrophysiological and functional magnetic resonance imaging (fMRI) signals remains poorly understood. To date, studies have required invasive methods and have been limited to single functional regions and thus cannot account for ...

2009

Non-retinotopic feature integration decreases response-locked brain activity as revealed by electrical neuroimaging

Michael Herzog, Olaf Blanke, Gijs Plomp, Thomas Otto, Manuel Mercier

When presented with dynamic scenes, the brain integrates visual elements across space and time. Such non-retinotopic processing has been intensively studied from a psychophysical point of view, but little is known about the underlying neural processes. Her ...

Elsevier2009

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Cartographie statistique paramétrique

Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization

Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping

Human finger somatotopy in areas 3b, 1, and 2: A 7T fMRI study using a natural stimulus

Volume-based vs. voxel-based brain morphometry in Alzheimer's disease prediction

Connectivity Searchlight: A Novel Approach For Mri Information Mapping Using Multivariate Connectivity

Brain decoding: Opportunities and challenges for pattern recognition

Spatiotemporal Brain Signatures of Risk and Reward

The neural correlates of the shine-through effect

Methods for Determining Frequency- and Region-Dependent Relationships Between Estimated LFPs and BOLD Responses in Humans

Non-retinotopic feature integration decreases response-locked brain activity as revealed by electrical neuroimaging

Graph Chatbot

Chattez avec Graph Search

Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping

The neural correlates of the shine-through effect

Spatiotemporal Brain Signatures of Risk and Reward

Volume-based vs. voxel-based brain morphometry in Alzheimer's disease prediction

Human finger somatotopy in areas 3b, 1, and 2: A 7T fMRI study using a natural stimulus

Towards tailoring non-invasive brain stimulation using real-time fMRI and Bayesian optimization

Brain decoding: Opportunities and challenges for pattern recognition

Connectivity Searchlight: A Novel Approach For Mri Information Mapping Using Multivariate Connectivity

Methods for Determining Frequency- and Region-Dependent Relationships Between Estimated LFPs and BOLD Responses in Humans

Non-retinotopic feature integration decreases response-locked brain activity as revealed by electrical neuroimaging